Triple

T13260676
Position Surface form Disambiguated ID Type / Status
Subject Hollywood/Western E315783 entity
Predicate servesNeighborhood P82 FINISHED
Object Thai Town E2806 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Thai Town | Statement: [Hollywood/Western, servesNeighborhood, Thai Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thai Town
Context triple: [Hollywood/Western, servesNeighborhood, Thai Town]
  • A. Thai Town chosen
    Thai Town is a vibrant Los Angeles neighborhood known as the cultural and commercial hub for the Thai-American community, featuring Thai restaurants, markets, and festivals.
  • B. Havana Chinatown
    Havana Chinatown is a historic Chinese district in Havana, Cuba, known for its cultural heritage, Chinese-Cuban community, and distinctive restaurants, shops, and festivals.
  • C. Little Saigon
    Little Saigon is a Vietnamese-focused commercial and cultural enclave known for its restaurants, markets, and community businesses within Seattle’s International District.
  • D. Bangkok Chinatown
    Bangkok Chinatown is a historic, bustling district in Bangkok known for its dense concentration of Chinese-Thai culture, markets, temples, and street food.
  • E. China Town
    China Town was the original name of the Nevada settlement that later became the town of Dayton.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901b380881909e6520fbb6811084 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4612cc8190b45673a3994cee18 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:25 p.m.